Token-guided multimodal prognosis in hepatocellular carcinoma: a framework steered by tumour-stroma ratio
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The authors aim to investigate whether the tumor-stroma ratio (TSR) exhibits a non-linear prognostic pattern in hepatocellular carcinoma (HCC) and to develop an AI-powered framework for standardized TSR assessment and prognosis prediction. Their findings reveal an inverted U-shaped relationship between TSR and mortality, leading to the creation of a novel multimodal framework that integrates whole-slide imaging and clinical data, demonstrating improved prognostic accuracy. This study emphasizes the potential of combining AI with biological insights for enhanced computational pathology in HCC.
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